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相关实验视频

Updated: Jun 9, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

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一种基于安全神经网络推断的动态授权密码文本图像检索算法.

Xin-Yu Zhang1, Jing-Wei Hong2,3

  • 1School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Beng' bu, China.

PloS one
|October 23, 2024
PubMed
概括
此摘要是机器生成的。

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本研究介绍了一种使用加密数据和神经网络的安全图像检索系统. 它增强了隐私,并允许灵活,授权访问图像而不需要解密.

科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 人工智能的人工智能

背景情况:

  • 传统的图像检索系统往往会损害数据隐私.
  • 安全的图像检索对于云计算环境至关重要.
  • 现有的方法可能缺乏灵活性和动态授权.

研究的目的:

  • 提出一个动态的,可授权的密码文本图像检索方案.
  • 为了提高图像检索安全性,同时保持数据隐私.
  • 为了实现有效和灵活的获取授权的加密图像.

主要方法:

  • 使用安全的神经网络推断来对加密图像进行特征提取.
  • 实现一个动态的,可认证的加密文本检索算法.
  • 为加密图像特征开发一个索引构建阶段.

主要成果:

  • 在整个上传到检索过程中保证数据图像隐私.
  • 确保数据可用性和安全性,以便方便地检索图像.
  • 证明了云计算环境的实际解决方案,尽管存在潜在的效率限制.

结论:

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  • 拟议的方案有效地提高了图像检索安全性和隐私.
  • 动态授权和安全推断提供灵活性和强大的保护.
  • 该解决方案满足了基于云的安全图像检索的实际需求.